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Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS

Crossref DOI link: https://doi.org/10.1186/s12944-026-02892-8

Published Online: 2026-02-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xu, Baidi

Sun, Huailong

Zhang, Zimeng

Wu, Guoqiang

Hong, Wenming

Zhang, Fang
Funding

Funding for this research was provided by:

National Youth Foundation of China (82003795)
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Text and Data Mining valid from 2026-02-10

Version of Record valid from 2026-03-12
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Article History

Received: 24 November 2025

Accepted: 2 February 2026

First Online: 10 February 2026

Declarations

:

: The study was approved by the Biomedical Ethics Review Board of Peking University (IRB00001052–11015). All participants provided written informed consent, and all procedures followed relevant ethical guidelines and regulations.

: Not applicable.

: The authors declare no competing interests.

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